Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/deck)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/deck"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/deck/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/deck"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00013 | $0.00166 |
| Opus 5.5 | $0.00005 | $0.00066 |
| Sonnet 5.5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
deck scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Load writing-assistant. Reference the brain (/foundation/brain.md; see "Context to load first" in SKILL.md) — load Positioning, ICP, Buyer Committee Personas, Proof Points, Brand Voice.
Mode: deck copy. Presentations are read and listened to simultaneously — copy must work both ways. Headline of each slide = the point, not the topic. "We're faster" not "Speed". For sales decks: check that each slide speaks to the right persona in the room. For exec pitches: lead with business outcome, not product features. Apply proof points where claims are made — every assertion needs evidence on or near the slide.
Deck outline, slide text, or specific slide to rewrite: $ARGUMENTS
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 17d ago Changed e9a6e5a33ce3
- 1mo ago First seen · 15 lines · 13 tokens per session scan A cc26e971de0e
deck is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 166 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-09.
Other commands, from other repositories
getpix
Find a free licensed image on the internet and add it to the project, optimized.
photo-pass
Art-direction photo pass over the site: add photography only where it earns its place.
strategy
Create a comprehensive product strategy using the 9-section Strategy Canvas — from vision to defensibility.
plan-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results.
privacy-policy
Draft a privacy policy covering data collection, usage, storage, and compliance requirements.
conjure
Use when you want to build a new Claude Code skill, agent, hook, or MCP server but aren't sure which — or when you want to describe what you want in plain language. Auto-detects the right artifact type, asks targeted questions, explains the reasoning, then builds it.